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Which Reference Should We Use for EEG and ERP practice?

Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem still inspires unceasing debate. The ideal reference should be the one with zero or constant potential but unfortunately it is well known that no point on the body fulfills this condition. Consequently, more tha...

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Autores principales: Yao, Dezhong, Qin, Yun, Hu, Shiang, Dong, Li, Bringas Vega, Maria L., Valdés Sosa, Pedro A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592976/
https://www.ncbi.nlm.nih.gov/pubmed/31037477
http://dx.doi.org/10.1007/s10548-019-00707-x
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author Yao, Dezhong
Qin, Yun
Hu, Shiang
Dong, Li
Bringas Vega, Maria L.
Valdés Sosa, Pedro A.
author_facet Yao, Dezhong
Qin, Yun
Hu, Shiang
Dong, Li
Bringas Vega, Maria L.
Valdés Sosa, Pedro A.
author_sort Yao, Dezhong
collection PubMed
description Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem still inspires unceasing debate. The ideal reference should be the one with zero or constant potential but unfortunately it is well known that no point on the body fulfills this condition. Consequently, more than ten references are used in the present EEG-ERP studies. This diversity seriously undermines the reproducibility and comparability of results across laboratories. A comprehensive review accompanied by a brief communication with rigorous derivations and notable properties (Hu et al. Brain Topogr, 2019. 10.1007/s10548-019-00706-y) is thus necessary to provide application-oriented principled recommendations. In this paper current popular references are classified into two categories: (1) unipolar references that construct a neutral reference, including both online unipolar references and offline re-references. Examples of unipolar references are the reference electrode standardization technique (REST), average reference (AR), and linked-mastoids/ears reference (LM); (2) non-unipolar references that include the bipolar reference and the Laplacian reference. We show that each reference is derived with a different assumption and serves different aims. We also note from (Hu et al. 2019) that there is a general form for the reference problem, the ‘no memory’ property of the unipolar references, and a unified estimator for the potentials at infinity termed as the regularized REST (rREST) which has more advantageous statistical evidence than AR. A thorough discussion of the advantages and limitations of references is provided with recommendations in the hope to clarify the role of each reference in the ERP and EEG practice.
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spelling pubmed-65929762019-07-11 Which Reference Should We Use for EEG and ERP practice? Yao, Dezhong Qin, Yun Hu, Shiang Dong, Li Bringas Vega, Maria L. Valdés Sosa, Pedro A. Brain Topogr Review Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem still inspires unceasing debate. The ideal reference should be the one with zero or constant potential but unfortunately it is well known that no point on the body fulfills this condition. Consequently, more than ten references are used in the present EEG-ERP studies. This diversity seriously undermines the reproducibility and comparability of results across laboratories. A comprehensive review accompanied by a brief communication with rigorous derivations and notable properties (Hu et al. Brain Topogr, 2019. 10.1007/s10548-019-00706-y) is thus necessary to provide application-oriented principled recommendations. In this paper current popular references are classified into two categories: (1) unipolar references that construct a neutral reference, including both online unipolar references and offline re-references. Examples of unipolar references are the reference electrode standardization technique (REST), average reference (AR), and linked-mastoids/ears reference (LM); (2) non-unipolar references that include the bipolar reference and the Laplacian reference. We show that each reference is derived with a different assumption and serves different aims. We also note from (Hu et al. 2019) that there is a general form for the reference problem, the ‘no memory’ property of the unipolar references, and a unified estimator for the potentials at infinity termed as the regularized REST (rREST) which has more advantageous statistical evidence than AR. A thorough discussion of the advantages and limitations of references is provided with recommendations in the hope to clarify the role of each reference in the ERP and EEG practice. Springer US 2019-04-29 2019 /pmc/articles/PMC6592976/ /pubmed/31037477 http://dx.doi.org/10.1007/s10548-019-00707-x Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review
Yao, Dezhong
Qin, Yun
Hu, Shiang
Dong, Li
Bringas Vega, Maria L.
Valdés Sosa, Pedro A.
Which Reference Should We Use for EEG and ERP practice?
title Which Reference Should We Use for EEG and ERP practice?
title_full Which Reference Should We Use for EEG and ERP practice?
title_fullStr Which Reference Should We Use for EEG and ERP practice?
title_full_unstemmed Which Reference Should We Use for EEG and ERP practice?
title_short Which Reference Should We Use for EEG and ERP practice?
title_sort which reference should we use for eeg and erp practice?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592976/
https://www.ncbi.nlm.nih.gov/pubmed/31037477
http://dx.doi.org/10.1007/s10548-019-00707-x
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